Autonomous Vehicle Behavior Detection and Counteraction
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Solution Overview
Problem
Partially autonomous motor vehicles face challenges in navigating through environments where other road users exhibit irregular behaviors, such as obstructive or malicious actions, which can impair their operation, especially when these users recognize the vehicle's autonomous nature and lower inhibition thresholds apply.
Innovation Solution
A method for operating a partially autonomous motor vehicle that analyzes sensor data to identify impairing behaviors and triggers counteractions, including acoustic and visual signals, and wireless messages to deter such behaviors, utilizing behavior models trained by machine learning algorithms to recognize and respond to obstructive or malicious actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles rely on collision avoidance strategies to navigate traffic, then safety is improved, but vulnerable to obstructive behaviors by road users who recognize the vehicle's autonomous nature
Solution Approach 1:
The system applies preliminary anti-action by detecting impairing behaviors early and triggering counteracting actions before the obstruction can fully impact vehicle operation. The control device monitors sensor data for signs of obstructive behavior and proactively responds with countermeasures such as acoustic signals, visual signals, or communication with infrastructure, preventing the behavior from escalating into a safety hazard.
Solution Approach 2:
The system converts the harmful obstructive behavior into a beneficial situation by using the detected impairing behavior as input to trigger appropriate counteractions. The control device transforms the negative input (obstruction attempt) into a positive outcome (deterrence through acoustic/visual signals or infrastructure communication), thereby turning the harmful interaction into an opportunity to reinforce safe operation.
2Reliability
If the vehicle triggers multiple counteracting actions to deter obstructive behaviors, then effectiveness in countering interference is improved, but device complexity increases
Solution Approach 1:
The control device performs multiple functions using a single integrated system. It detects impairing behaviors through sensor data analysis, determines appropriate counteractions based on the detected behavior type, and executes various countermeasures (acoustic signals, visual signals, infrastructure communication) all through one control device. This multi-functional approach reduces overall system complexity compared to having separate dedicated systems for each function.
Solution Approach 2:
The system merges the detection, decision-making, and execution functions into a single integrated control device. Instead of having separate systems for detecting obstructive behaviors, deciding on counteractions, and executing them, the patent combines these functions into one unified control device that handles the entire process, thereby reducing system complexity while maintaining effectiveness.
3Measurement precision
If the vehicle uses sensor data analysis with behavior models to identify impairing behaviors, then detection accuracy is improved, but processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary action by pre-training behavior models with training data that represents various impairing behaviors. These pre-trained models are stored in the control device and can be rapidly applied to real-time sensor data without requiring extensive processing during actual operation. The preliminary training phase separates the computationally intensive model development from the real-time detection phase, reducing processing time during vehicle operation.
Solution Approach 2:
The system applies partial action by focusing the behavior model analysis on specific characteristics of sensor data that are most indicative of impairing behaviors. Rather than analyzing all possible aspects of sensor data equally, the control device concentrates computational resources on the most relevant features identified by the trained behavior models, thereby achieving high detection accuracy with reduced processing requirements.
Data Source
AI summary
A method for operating a partially autonomous motor vehicle, wherein in a non-parked state of the motor vehicle, sensor data of a sensor device, which detects at least one person in the surroundings of the motor vehicle, are analyzed with respect to a behavior of the person disadvantageously impairing the further driving operation of the motor vehicle and at least one action counteracting the behavior of the person is triggered in dependence on the analysis result.